Social Network Analysis - Lecture 1 - Dr. Stefan Siersdorfer 1.

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Social Network Analysis- Lecture 1 -

Dr. Stefan Siersdorfer

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Logistics (1)

• Lecturer: Dr. Stefan Siersdorfer• Teaching Assistant: Dipl-Inf. Sergiu Chelaru• Lecture times: Tuesday, 10am,

about 2 * 45min, 10min break, followed by 45min tutorial• Weekly homework exercises• Written Exam / Oral Exam: TBA• Book: David Easly and Jon Kleinberg, „Networks, Crowds

and Markets“, Camebridge University Press, 2010https://www.cs.cornell.edu/home/kleinber/networks-book/

• Practical work (later in the course): Gephi https://gephi.org/

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Logistics (2)

• No lecture notes; but content of the lecture will be very close to the book: – Chapters corresponding to lectures will be announced– „Look-ahead“ useful!

• Lecture format: mix of slides (less) and whiteboard (more)• Course page: https://

t3sec.rrzn.uni-hannover.de/cmsv018f.rrzn.uni-hannover.de/social_network_analysis.html

(Google: social network analysis hannover)• Prerequisites: Basics of graphs and probabilities• During the lectures: no mobile phones, laptops, etc. please

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Illustrations and Empirical Results

• Figure Credit: Figures from Kleinberg and Easly book

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Example 1: Karate Club

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Example 2: Communication in Organization (HP)

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Example 3: Trade between Countries

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Example 4: Medieval Trading in Europe

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Example 5: World Wide Web (Blogs on Presidental Election in 2004)

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Giant Component Example(Romantic Relationships in High School)

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Small World: Milgram Experiment

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Small Wold: MS Instant Messenger